Table 1 The features selected by the iterative genetic search algorithm with evaluation by Logistic Regression (LR), Baysian Network (BN), Functional Tree (FT), REP Tree (RT), and Alternating Decision Tree (AT)
Feature | Count | LR | BN | FT | RT | AT |
|---|---|---|---|---|---|---|
relSESA | 10 | □∙ | □∙ | □∙ | □∙ | □∙ |
esolv | 6 | □ | □∙ | ∙ |  | □∙ |
Density | 6 | ∙ |  | ∙ | □∙ | □∙ |
ePot | 5 |  | □∙ | □ | □ | ∙ |
Scorecons | 5 | □∙ | ∙ | □ | □ |  |
rate4site | 5 | □ | ∙ | ∙ | □ |  |
Disorder | 5 | □∙ |  | ∙ | □ | □ |
B-Factor | 4 |  | ∙ | □∙ |  | □ |
Roughness | 4 | □∙ | □∙ |  |  |  |
Hydro | 3 | ∙ |  | □ | □ |  |
Protrusion | 3 | □∙ |  |  | □ |  |
Propensity | 3 | □ |  | □ | ∙ |  |
Curvature | 2 |  | □∙ |  |  |  |